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Volumn 36, Issue 21, 2017, Pages 3283-3301

Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practice

Author keywords

data interpretation; decision making; meta analysis; models; statistical; validity

Indexed keywords

CLINICAL PRACTICE; CONTROLLED STUDY; DECISION MAKING; HUMAN; META ANALYSIS; SAMPLE SIZE; SIMULATION; STATISTICAL MODEL; VALIDATION PROCESS; VALIDITY; ALGORITHM; COMPUTER SIMULATION; GENERAL PRACTICE; META ANALYSIS (TOPIC); REGRESSION ANALYSIS; REPRODUCIBILITY; STATISTICAL ANALYSIS; STATISTICAL BIAS;

EID: 85021224190     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.7372     Document Type: Article
Times cited : (99)

References (31)
  • 1
    • 84928762608 scopus 로고    scopus 로고
    • Summarising and validating the accuracy of a diagnostic or prognostic test across multiple studies: a new meta-analysis framework
    • Riley RD, Ahmed I, Debray TPA, Willis BH, Noordzij P, Higgins JPT, Deeks JJ. Summarising and validating the accuracy of a diagnostic or prognostic test across multiple studies: a new meta-analysis framework. Statistics in Medicine 2015; 34:2081–2103.
    • (2015) Statistics in Medicine , vol.34 , pp. 2081-2103
    • Riley, R.D.1    Ahmed, I.2    Debray, T.P.A.3    Willis, B.H.4    Noordzij, P.5    Higgins, J.P.T.6    Deeks, J.J.7
  • 2
    • 84880044696 scopus 로고    scopus 로고
    • A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis
    • Debray TP, Moons KG, Ahmed I, Koffijberg H, Riley RD. A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis. Statistics in Medicine 2013; 32:3158–3180.
    • (2013) Statistics in Medicine , vol.32 , pp. 3158-3180
    • Debray, T.P.1    Moons, K.G.2    Ahmed, I.3    Koffijberg, H.4    Riley, R.D.5
  • 3
    • 84952630758 scopus 로고    scopus 로고
    • Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model
    • Snell KIE, Hua H, Ensor J, Debray TP, Look MP, Moons KG, Riley RD. Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model. Journal of Clinical Epidemiology 2016; 69:40–50.
    • (2016) Journal of Clinical Epidemiology , vol.69 , pp. 40-50
    • Snell, K.I.E.1    Hua, H.2    Ensor, J.3    Debray, T.P.4    Look, M.P.5    Moons, K.G.6    Riley, R.D.7
  • 4
    • 1542506052 scopus 로고    scopus 로고
    • Construction and validation of a prognostic model across several studies, with an application in superficial bladder cancer
    • Royston P, Parmar MKB, Sylvester R. Construction and validation of a prognostic model across several studies, with an application in superficial bladder cancer. Statistics in Medicine 2004; 23:907–926.
    • (2004) Statistics in Medicine , vol.23 , pp. 907-926
    • Royston, P.1    Parmar, M.K.B.2    Sylvester, R.3
  • 5
    • 84897537279 scopus 로고    scopus 로고
    • Estimating a test's accuracy using tailored meta-analysis—how setting-specific data may aid study selection
    • Willis BH, Hyde CJ. Estimating a test's accuracy using tailored meta-analysis—how setting-specific data may aid study selection. Journal of Clinical Epidemiology 2014; 67:538–546.
    • (2014) Journal of Clinical Epidemiology , vol.67 , pp. 538-546
    • Willis, B.H.1    Hyde, C.J.2
  • 6
    • 84932613240 scopus 로고    scopus 로고
    • What is the test's accuracy in my practice population? Tailored meta-analysis provides a plausible estimate
    • Willis BH, Hyde CJ. What is the test's accuracy in my practice population? Tailored meta-analysis provides a plausible estimate. Journal of Clinical Epidemiology 2015; 68:847–854.
    • (2015) Journal of Clinical Epidemiology , vol.68 , pp. 847-854
    • Willis, B.H.1    Hyde, C.J.2
  • 7
    • 77958110812 scopus 로고    scopus 로고
    • Conducting meta-analyses in R with the metafor package
    • Viechtbauer W. Conducting meta-analyses in R with the metafor package. Journal of Statistical Software 2010; 36(3):1–48.
    • (2010) Journal of Statistical Software , vol.36 , Issue.3 , pp. 1-48
    • Viechtbauer, W.1
  • 8
    • 0001610304 scopus 로고
    • Notes on bias in estimation
    • Quenouille MH. Notes on bias in estimation. Biometrika 1956; 43(3–4):353–360.
    • (1956) Biometrika , vol.43 , Issue.3-4 , pp. 353-360
    • Quenouille, M.H.1
  • 9
    • 67650366830 scopus 로고    scopus 로고
    • The exact distribution of Cochran's heterogeneity statistic in one-way random effects meta-analysis
    • Biggerstaff BJ, Jackson D. The exact distribution of Cochran's heterogeneity statistic in one-way random effects meta-analysis. Statistics in Medicine 2008; 27:6093–6110.
    • (2008) Statistics in Medicine , vol.27 , pp. 6093-6110
    • Biggerstaff, B.J.1    Jackson, D.2
  • 10
    • 73149087027 scopus 로고    scopus 로고
    • Computing the distribution of quadratic forms: further comparisons between the Liu–Tang–Zhang approximation and exact methods
    • Duchesne P, Lafaye De Micheaux P. Computing the distribution of quadratic forms: further comparisons between the Liu–Tang–Zhang approximation and exact methods. Computational Statistics and Data Analysis 2010; 54:858–862.
    • (2010) Computational Statistics and Data Analysis , vol.54 , pp. 858-862
    • Duchesne, P.1    Lafaye De Micheaux, P.2
  • 11
    • 84872636119 scopus 로고
    • An approximate distribution of estimates of variance components
    • Satterthwaite FE. An approximate distribution of estimates of variance components. Biometrics Bulletin 1946; 2:110–114.
    • (1946) Biometrics Bulletin , vol.2 , pp. 110-114
    • Satterthwaite, F.E.1
  • 12
    • 85041932786 scopus 로고
    • Numerical inversion of a characteristic function
    • Davies RB. Numerical inversion of a characteristic function. Biometrika 1973; 60(2):415–417.
    • (1973) Biometrika , vol.60 , Issue.2 , pp. 415-417
    • Davies, R.B.1
  • 14
    • 0344272718 scopus 로고
    • On the distribution of a linear combination of independent chi-squares
    • Fleiss JL. On the distribution of a linear combination of independent chi-squares. Journal of the American Statistical Association 1971; 66:142–144.
    • (1971) Journal of the American Statistical Association , vol.66 , pp. 142-144
    • Fleiss, J.L.1
  • 15
    • 0000989367 scopus 로고
    • Probability content of regions under spherical normal distributions. IV The distribution of homogeneous and non-homogeneous quadratic functions of normal variables
    • Ruben H. Probability content of regions under spherical normal distributions. IV The distribution of homogeneous and non-homogeneous quadratic functions of normal variables. The Annals of Mathematical Statistics 1962; 33:542–570.
    • (1962) The Annals of Mathematical Statistics , vol.33 , pp. 542-570
    • Ruben, H.1
  • 17
    • 41049093347 scopus 로고
    • The combination of estimates from different experiments
    • Cochran WG. The combination of estimates from different experiments. Biometrics 1954; 10:101–129.
    • (1954) Biometrics , vol.10 , pp. 101-129
    • Cochran, W.G.1
  • 18
  • 20
    • 84959266078 scopus 로고    scopus 로고
    • Misunderstandings about Q and ‘Cochran's Q test’ in meta-analysis
    • Hoaglin DC. Misunderstandings about Q and ‘Cochran's Q test’ in meta-analysis. Statistics in Medicine 2016; 35:485–495.
    • (2016) Statistics in Medicine , vol.35 , pp. 485-495
    • Hoaglin, D.C.1
  • 21
    • 85000866393 scopus 로고    scopus 로고
    • Plea for routinely presenting prediction intervals in meta-analysis
    • IntHout J, Ioannidis JP, Rovers MM, Goeman JJ. Plea for routinely presenting prediction intervals in meta-analysis. BMJ Open 2016; 6 e010247. DOI: https://doi.org/10.1136/bmjopen-2015-010247.
    • (2016) BMJ Open , vol.6
    • IntHout, J.1    Ioannidis, J.P.2    Rovers, M.M.3    Goeman, J.J.4
  • 24
    • 84879799188 scopus 로고
    • Estimation of error rates in discriminant analysis
    • Lachenbruch PA, Mickey MR. Estimation of error rates in discriminant analysis. Technometrics 1968; 10:1–11.
    • (1968) Technometrics , vol.10 , pp. 1-11
    • Lachenbruch, P.A.1    Mickey, M.R.2
  • 26
    • 0032580372 scopus 로고    scopus 로고
    • Detecting and describing heterogeneity in meta-analysis
    • Hardy RJ, Thompson SG. Detecting and describing heterogeneity in meta-analysis. Statistics in Medicine 1998; 17:841–856.
    • (1998) Statistics in Medicine , vol.17 , pp. 841-856
    • Hardy, R.J.1    Thompson, S.G.2
  • 29
    • 0037153701 scopus 로고    scopus 로고
    • Data dredging, bias, or confounding
    • Smith GD, Ebrahim S. Data dredging, bias, or confounding. The British Medical Journal 2002; 325(7378):1437–1438.
    • (2002) The British Medical Journal , vol.325 , Issue.7378 , pp. 1437-1438
    • Smith, G.D.1    Ebrahim, S.2
  • 30
    • 0034728356 scopus 로고    scopus 로고
    • What do we mean by validating a prognostic model?
    • Altman DG, Royston P. What do we mean by validating a prognostic model? Statistics in Medicine 2000; 19:453–473.
    • (2000) Statistics in Medicine , vol.19 , pp. 453-473
    • Altman, D.G.1    Royston, P.2
  • 31
    • 84990932195 scopus 로고    scopus 로고
    • Random effects meta-analysis: coverage performance of 95% confidence and prediction intervals following REML estimation
    • Partlett C, Riley RD. Random effects meta-analysis: coverage performance of 95% confidence and prediction intervals following REML estimation. Statistics in Medicine 2017; 36(2):301–317.
    • (2017) Statistics in Medicine , vol.36 , Issue.2 , pp. 301-317
    • Partlett, C.1    Riley, R.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.